Mathematical model with autoregressive process for electrocardiogram signals

Autor(es)

Evaristo, Ronaldo M. ^{[1, 2]} ; Batista, Antonio M. ^{[3, 4, 2, 5]} ; Viana, Ricardo L. ^[6] ; Iarosz, Kelly C. ^{[3, 4]} ; Szezech, Jr., Jose D. ^{[2, 5]} ; de Godoy, Moacir F. ^[7]

Afiliação do(s) autor(es)

^[1] Inst Fed Educ Ciencia & Tecnol Parana, Telemaco Borba, PR - Brazil

^[2] Univ Estadual Ponta Grossa, Ciencias, Ponta Grossa, PR - Brazil

^[3] Univ Sao Paulo, Inst Fis, Sao Paulo, SP - Brazil

^[4] Inst Complex Syst & Math Biol, Aberdeen - Scotland

^[5] Univ Estadual Ponta Grossa, Dept Matemat & Estat, Ponta Grossa, PR - Brazil

^[6] Univ Fed Parana, Dept Fis, Curitiba, Parana - Brazil

^[7] Fac Med Sao Jose do Rio Preto, Sao Jose Do Rio Preto, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION; v. 57, p. 415-421, APR 2018.
• Citações Web of Science: 1

Resumo

The cardiovascular system is composed of the heart, blood and blood vessels. Regarding the heart, cardiac conditions are determined by the electrocardiogram, that is a noninvasive medical procedure. In this work, we propose autoregressive process in a mathematical model based on coupled differential equations in order to obtain the tachograms and the electrocardiogram signals of young adults with normal heartbeats. Our results are compared with experimental tachogram by means of Poincare plot and dentrended fluctuation analysis. We verify that the results from the model with autoregressive process show good agreement with experimental measures from tachogram generated by electrical activity of the heartbeat. With the tachogram we build the electrocardiogram by means of coupled differential equations. (C) 2017 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 16/16148-5 - Comportamento síncrono e plasticidade sináptica em redes complexas
• Beneficiário: Kelly Cristiane Iarosz
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 15/07311-7 - Comportamento dinâmico de redes neurais
• Beneficiário: Kelly Cristiane Iarosz
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 11/19296-1 - Dinâmica não linear
• Beneficiário: Iberê Luiz Caldas
• Modalidade de apoio: Auxílio à Pesquisa - Temático